Rock: Libby Gerber #47
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CheezItMan
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Jan 11, 2022
CheezItMan
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CheezItMan
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Nice work Libby, you hit the learning goals here. Well done.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def add_helper(self, current, key, value): |
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👍 Since this is recursive the space complexity is O(log n) assuming the tree is balanced and O(n) otherwise.
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| # Time Complexity: O(log n) | ||
| # Space Complexity: O(1) | ||
| def find(self, key): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
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| # Time Complexity: | ||
| # Space Complexity: | ||
| def inorder_helper(self, current, values_list): |
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👍 , but since you're building a list of node values, the space complexity is O(n)
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
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| def preorder_helper(self, current_node, values_list): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(1) | ||
| def postorder_helper(self, current_node, values_list): |
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| # Time Complexity: O(n) | ||
| # Space Complexity: O(n) | ||
| def height_helper(self, current_node): |
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👍 If the tree is balanced this is O(log n) for space complexity and O(n) otherwise.
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